5 Pages

c01

Course: MATH 180, Spring 2006
School: Mitchell Technical...
Rating:
 
 
 
 
 

Word Count: 1383

Document Preview

Class 18.03 1, Feb 8, 2006 Introduction: Geometric view of solving ODE's. Vocabulary: Differential equation; solutions; ordinary; order; general solution, particular solution, initial value; direction field; integral curve; separable equation. Technique: separation of variables. [1] Welcome to 18.03. I hope you've picked up an information sheet and syllabus and a problem set when you came in. Read the...

Register Now

Unformatted Document Excerpt

Coursehero >> South Dakota >> Mitchell Technical Institute >> MATH 180

Course Hero has millions of student submitted documents similar to the one
below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.

Course Hero has millions of student submitted documents similar to the one below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.
Class 18.03 1, Feb 8, 2006 Introduction: Geometric view of solving ODE's. Vocabulary: Differential equation; solutions; ordinary; order; general solution, particular solution, initial value; direction field; integral curve; separable equation. Technique: separation of variables. [1] Welcome to 18.03. I hope you've picked up an information sheet and syllabus and a problem set when you came in. Read the information sheet. It contains a lot of important information about how this course will work this term. In addition to the textbooks (Quantum Books), you should pick up two course packets from Graphic Arts in the basement of Building 11. We'll use EP (5th or 4th ed) but not the freely bundled Polking. You should have been assigned to a recitation, and have gone to it yesterday (or this morning). We had to cancel some recitations, by the way, and the registrar messed up this process. If you got letters from the registrar and from the UMO, the UMO is right. I also hope you went to recitation on Tuesday. where these yellow sheets were handed out I hope you've now manufactured little booklets of them. We'll use them for a primitive but effective form of communication between us. It's private; only I can see the numbers you put up, pretty much. I will not use them every lecture, but I will on Friday. If you need to change recitation, go to the UMO. This is also where you hand in homework, due on Wednesdays or Fridays. The current PS is due a week from today, Feb 15, at 1:00. Any questions? [2] Notice the "Ten Essential Skills" at the back of the Information Sheet. This is a kind of plot summary. There'll be one problem on the each of these skills on the final exam. Here's a list of some of the larger courses listing 18.03 as a prerequisite or co-requisite. Teachers of these courses know the list of skills. They expect you will know how to do these things. 2.001 Mechanics and Materials I 2.003 Dynamics and Vibrations 2.005 Thermal-Fluids Engineering 2.016 Hydrodynamics 3.23 Electrical, Optical, and Magnetic Properties of Materials 6.002 Circuits and Electronics 6.021 Quantitative Physiology: Cells and Tissues 6.630 Electromagnetics 8.04 Quantum Physics I Fluid Mechanics Fluid Dynamics of the Atmosphere and Ocean 10.301 12.800 16.01 Unified Engineering 18.100 18.330 18.353J Analysis I Introduction to Numerical Analysis Nonlinear Dynamics I: Chaos [3] A DIFFERENTIAL EQUATION is a relation between a function and its derivatives. Differential equations form the language in which the basic laws of science are expressed. The science tells us how the system at hand changes "from one instant to the next." The challenge addressed by the theory of differential equations is to take this short-term information and obtain information about long-term overall behavior. So the art and practice of differential equations involves the following sequence of steps: one "models" a system (physical, chemical, biological, economic, or even mathematical) by means of a differential equation; one then attempts to gain information about solutions of this equation; and one then translates this mathematical information back into the scientific context. 'Solving' _______________\ / Differential Equation: Short term information /\ \ \ Model \ \ \ Behavior over time / / / Interpretation / / \/ Physical World A basic example is given by Newton's law, F = ma. a = acceleration, the second derivative of x = position. Forces don't effect x directly, but only through its derivatives. This is a second order ODE, and we will study second order ODEs extensively later in the course. [4] In this first Unit we will study ODEs involving only the first derivative: first order: y' = F(x,y) . Example 1: Example 2: y' = 2x y' = ky. Solution by integrating: Solution: y = Ce^{kt} . y = x^2 + c. MEMORIZE THIS It's easy to check; a nice feature of differential equations in general. [5] Today: Graphical approach In Example 1 the graphs are nested parabolas: vertical translates of each other. In Example 2, graphs of solutions are no longer merely vertical translates; they form a spray, and include the solution x = 0. The constant of integration is multiplicative, here: C. have We written down the "general solutions." Their graphs fill up the plane. A "particular solution" arises from choosing a specific value for the constant of integration. Often it occurs by specifying a point (a,b) you want the solution curve to pass through. This is an "initial value." The particular solution to y' = ky with This is a good DEFINITION of e^{kx} . y(0) = 1 is y = e^{kx} . The ODE y' = F(x,y) specifies a derivative - that is, a slope - at every point in the plane. This is a DIRECTION FIELD or SLOPE FIELD. An INTEGRAL CURVE is a curve in the plane that has the given slope at every point it passes through. A SOLUTION is a function whose graph lies on an integral curve. Example 3: y' = y^2 - x. This equation does not admit solutions in elementary functions. Nevertheless we can say interesting things about its solutions. To draw the direction field, find where This is an ISOCLINE. Eg m = 0 : x = y^2. F(x,y) is constant, say m. I drew in the direction field. m = 1 : x = y^2 - 1 m = -1 : x = y^2 + 1 . I invoked the Mathlet Isoclines and showed the example. I drew some solution curves. Many get trapped along the bottom branch of the parabola. Can we explain this? I cleared the solutions and called attention to the fact that everywhere, the direction on the null-cline points into the region between m = 0 and m = -1 , and everywhere to the right of some point (actually it's (5/4,-1/2) ) on m = -1 the direction field also points into the region. So solutions in that region stay in that region: they are trapped between those two parabolas, which are asymptotic as x ---> infinity. All these solutions become very close to the function - sqrt(x) for large x . This is an ideal situation! - we know completely about the long term behavior of these solutions, and the answer doesn't depend on initial conditions (as long as you are in this range). This is "stability." [6] We have seen in action the EXISTENCE AND UNIQUENESS THEOREM FOR ODEs: y' = F(x,y) has exactly one solution such that y(a) = b , for any (a,b) in the region where F is defined. (You actually have to put some technical conditions on F -- see EP.) Example 3: y' = - x/y . Take a point (x,y) . The slope of the line from (0,0) to it is y/x . -x/y is the slope of the perpendicular. I drew the direction field. You can visualize the solutions. Everyone knows that the slope of a perpendicular is given by negative reciprocal. So the slope field now goes around the origin, and the solutions look to be concentric circles. The E and U theorem says that there is just one integral curve through each point: EVERY POINT LIES ON AN INTEGRAL CURVE, and NO CROSSING ALLOWED. Direction fields let you visualize this, but we also want to be able to solve ODEs "analytically," that is, using formulas. [7] METHOD: Separation of variables (from recitation): Step 1: put all the x's on one side, y's on the other: dy/dx = - x/y ====> y dy = - x dx . (If this can't be done, the equation isn't separable and this method doesn't work.) Step 2: Integrate both sides: y^2/2 + c1 = - y^2/2 + c2 Clean up by combining constants of integration: x^2 + y^2 = c (where c = 2(c2 - c1) ) Yes, we got circles. This is an IMPLICIT SOLUTION. Separation of variables usually leads to an implicit solution - equations for integral curves, satisfied by solutions, rather than an explicit expression for y as a function of x . We can solve here: y = sqrt(c - x^2) or y = - sqrt(c - x^2). Each integral curve contains TWO solution functions: one above, one below. Your initial condition tells you which you are on. There is NO solution with initial condition (x,0) , since the slope would be infinite. You may be looking for a PARTICULAR SOLUTION to the equation, specified by giving an INITIAL CONDITION: when x = value of the solution to be 2, say. We are looking for an through the point (1,2). We can get this by computing what it happen: c = 5 works, and we find the solution y = differential 1 , we want the integral curve c must be to make sqrt(5 - x^2) . A point to note here: solutions may not extend for ever. This one exists only for x between -sqrt(5) and + sqrt(5).
Find millions of documents on Course Hero - Study Guides, Lecture Notes, Reference Materials, Practice Exams and more. Course Hero has millions of course specific materials providing students with the best way to expand their education.

Below is a small sample set of documents:

MapĂșa Institute of Technology - MATH - 180
18.03 Class 2, February 10, 2006 Numerical Methods [1] The study of differential equations rests on three legs:. Analytic, exact, symbolic methods . Quantitative methods (direction fields, isoclines .) . Numerical methods Even if we can solve symbolicall
MapĂșa Institute of Technology - MATH - 180
18.03 Class 3, Feb 13, 2006 First order linear equations: Models Vocabulary: Coupling constant, system, signal, system response, Models: banks, mixing, cooling, growth and decay. Solution in case the equation is separable; general story deferred to Cla
MapĂșa Institute of Technology - MATH - 180
18.03 Class 4, Feb 15, 2006 First order linear equations: solutions. [1] Definition: A "linear ODE" is one that can be put in the "standard form" _ | | | x' + p(t)x = q(t) | |_| On Monday we looked at the Homogeneous case, x' + p(t) x = 0 . This is se
MapĂșa Institute of Technology - MATH - 180
18.03 Class 5, Feb 17, 2006 Complex Numbers, complex exponential Today, or at least 2006, is the 200th anniversary of the birth of complex numbers. In 1806 papers by Abb\'e Bul\'ee and by Jean-Robert Argand established the planar representation of complex
MapĂșa Institute of Technology - MATH - 180
18.03 Class 6, Feb 21, 2006 Roots of Unity, Euler's formula, Sinusoidal functions [1] Let Roots of unity a>0. Since i^2 = -1 , (+- i sqrt(a)^2 = - a C. C , :Negative real numbers have square roots inAny quadratic polynomial with real coefficients
MapĂșa Institute of Technology - MATH - 180
18.03 Class 7, Feb 22, 2006 Applications of C: Exponential and Sinusoidal input and output: Euler: Re e^cfw_(a+bi)t Im e^cfw_(a+bi)t [1] Integration e^cfw_2t cos(t) ? = = e^cfw_at cos(bt) e^cfw_at sin(bt)Remember how to integrate Use parts twice.
MapĂșa Institute of Technology - MATH - 180
18.03 Class 8, Feb 24, 2006 Autonomous equations I'll use (t,y) today.y' = F(t,y)is the general first order equation y' = g(y) .Autonomous ODE:Eg [Natural growth/decay] Constant growth rate: so y' = k0 y . k0 > 0 means the populuation (if positive) i
MapĂșa Institute of Technology - MATH - 180
18.03 Muddy Card responses, February 24, 2006Thank you all for your frank responses. Ill try to answer some of the most common confusions. 1. A rst order ODE is autonomous if it has the form y = g (y ). Here y = dy/dt. y is a function of t, so its true t
MapĂșa Institute of Technology - MATH - 180
18.03 Class 9, Feb 27, 2006 Review: Linear v Nonlinear [1] review of linear methods [2] Comment on special features of solutions of linear first order ODEs not shared by nonlinear equations. [1] First Order Linear: x' + p(t) x = q(t)system; input signal;
MapĂșa Institute of Technology - MATH - 180
18.03 Class 11, March 3, 2006 Second order equations: Physical model, characteristic polynomial, real roots, structure of solutions, initial conditions [1] F = ma spring is the basic example. mass Take a spring attached to a wall,dashpot| | | |-> F_ext
MapĂșa Institute of Technology - MATH - 180
18.03 Muddy Card responses, March 3, 20061. I confused a number of people by dividing through mx + bx + k x = Fext (t) and miraculously getting x + bx + k x = q (t). What I meant to say was that by dividing through you make the coecient of x equal to 1 a
MapĂșa Institute of Technology - MATH - 180
18.03 Class 12, March 6, 2006 Homogeneous constant coefficient linear equations: complex or repeated roots, damping criteria. [1] We are studying equations of the form x" + b x' + k x = 0 (*)which model a mass, dashpot, spring system without external
MapĂșa Institute of Technology - MATH - 180
18.03 Class 13, March 8, 2006 Summary of solutions to homogeneous second order LTI equations; Introduction to inhomogneneous equations. [1] We saw on Monday how to solve x" + bx' + kx = 0.Here is a summary table of unforced system responses. One of three
MapĂșa Institute of Technology - MATH - 180
18.03 Class 14, March 10, 2006 Exponential signals, higher order equations, operators [1] Exponential signals x" + bx' + kx = A e^cfw_rt (*)We want to find some solution. Try for a solution of the form k] b] xp xp' = = B e^cfw_rt xp = B e^cfw_rt :B r e^
MapĂșa Institute of Technology - MATH - 180
18.03 Muddy Card responses, March 10, 20061. The commonest question concerned the idea and utility of operators. I'll say something now. You can look ahead at the "exponential shift law" if you want, to see one use later. An operator modifies a function
MapĂșa Institute of Technology - MATH - 180
18.03 Class 15, March 13, 2004 Operators: Exponential shift law Undetermined coefficients [1] Operators. D e^cfw_rt so and or D^n e^cfw_rt = = The ERF is based on the following calculation: r e^cfw_rt = rI e^cfw_rtr^n I e^cfw_rt(a_n D^n + . + a_0 I) e^c
MapĂșa Institute of Technology - MATH - 180
18.03 Class 16, March 15, 2006 Frequency response [1] Frequency response: without damping x" + omega_n^2 x = 0 :First recall the Harmonic Oscillator: The spring constant is k = omega_n^2 .Solutions are arbitrary sinusoids with circular frequency the "
MapĂșa Institute of Technology - MATH - 180
18.03 Class 17, March 17, 2006 Application of second order frequency response to AM radio reception with guest appearance by EECS Professor Jeff Lang. [1] The AM radio frequency spectrum is divided into narrow segments which individual stations are requir
MapĂșa Institute of Technology - MATH - 180
18.03 Class 18, March 20, 2006 Review of constant coefficient linear equations: Big example, superposition, and Frequency Response [1] Example. x" + 4x = 0 PLEASE KNOW the solution to the homogeneous harmonic oscillator x" + omega^2 x = 0 are sinusoids of
MapĂșa Institute of Technology - MATH - 180
18.03 Class 20, March 24, 2006 Periodic signals, Fourier series [1] Periodic functions: for example the heartbeat, or the sound of a violin, or innumerable electronic signals. I showed an example of violin and flute. A function f(t) is "periodic" if there
MapĂșa Institute of Technology - MATH - 180
18.03 Class 21, April 3 Fun with Fourier series [1] If f(t) is any decent periodic of period 2pi, it has exactly one expression as (*)f(t) = (a0/2) + a1 cos(t) + a2 cos(2t) + . + b1 sin(t) + b2 sin(2t) + .To be precise, there is a single list of coeffic
MapĂșa Institute of Technology - MATH - 180
18.03 Muddy Card responses, April 3, 20061. A number of people were confused by my derivation of the Fourier coecients of the function f (t), even, periodic, period 2 , with f (t) = 4 for 0 < t < /2 and f (t) = 0 for /2 < t < . I think the process of exp
MapĂșa Institute of Technology - MATH - 180
18.03 Class 22, April 5 Fourier series and harmonic response [1] My muddy point from the last lecture: I claimed that the Fourier series for f(t) converges wherever $f$ is continuous. What does this really say? For example, (pi/4) sq(t) for any value of t
MapĂșa Institute of Technology - MATH - 180
18.03 Class 23, April 7 Step and delta. Two additions to your mathematical modeling toolkit. - Step functions [Heaviside] - Delta functions [Dirac] [1] Model of on/off process: a light turns on; first it is dark, then it is light. The basic model is the H
MapĂșa Institute of Technology - MATH - 180
18.03 Class 24, April 10, 2006 Unit impulse and step responses [1] In real life one often encounters a system with unknown system parameters. If it's a spring/mass/dashpot system you may not know the spring constant, or the mass, or the damping constant.
MapĂșa Institute of Technology - MATH - 180
18.03 Class 25, April 12, 2006 Convolution [1] We learn about a system by studying it responses to various input signals. I claim that the weight function w(t) - the solution to p(D)x = delta(t) with rest initial conditions - contains complete data about
MapĂșa Institute of Technology - MATH - 180
18.03 Lecture 26, April 14 Laplace Transform: basic properties; functions of a complex variable; poles diagrams; s-shift law. [1] The Laplace transform connects two worlds:-| The t domain | | | | t is real and positive | | | | functions f(t) are
MapĂșa Institute of Technology - MATH - 180
18.03 Muddy Card responses, April 14, 20061. A number of people brought up the point made at the end of Lecture 25, on April 12: how do we know what initial conditions yield the unit step or impulse responses? This is a tricky point and I did not explain
MapĂșa Institute of Technology - MATH - 180
18.03 Class 27, April 17, 2006 Laplace Transform II: inverse transform, t-derivative rule, use in solving ODEs; partial fractions: cover-up method; s-derivative rule. Definition: F(s) = L[f(t)] = integral_cfw_0-^infty f(t) e^cfw_-st dt , Re(s) > 0Rules:
MapĂșa Institute of Technology - MATH - 180
18.03 Class 28, Apr 21 Laplace Transform III: Second order equations; completing the square. Rules: L is linear: L[af(t) + bg(t)] = aF(s) + bG(s)F(s)essentially determinesf(t) = = = = = F(s-a) e^cfw_-as F(s) - F'(s) s F(s) - f(0+) s^2 F(s) - s f
MapĂșa Institute of Technology - MATH - 180
18.03 Muddy Card responses, April 21, 20061. LTI = Linear, Time Invariant. This is a property of an operator or a system. An operator (which is a rule L that converts one function of time to another one) is linear if L(f + g ) = L(f )+ L(g ) and L(cf ) =
MapĂșa Institute of Technology - MATH - 180
18.03 Class 29, Apr 24 Laplace Transform IV: The pole diagram[1] I introduced the weight function = unit impulse response with the mantra that you know a system by how it responds, so if you let it respond to the simplest possible signal (with the simple
MapĂșa Institute of Technology - MATH - 180
18.03 Class 31, April 28, 2006 First order systems: Introduction [1] There are two fields in which rabbits are breeding like rabbits. Field 1 contains x(t) rabbits, field 2 contains y(t) rabbits. In both fields the rabbits breed at a rate of 3 rabbits per
MapĂșa Institute of Technology - MATH - 180
18.03 Class 32, May 1 Eigenvalues and eigenvectors [1] Prologue on Linear Algebra. [a b ; c d] [x ; y] = x[a ; c] + y[b ; d] :RecallA matrix times a column vector is the linear combination of the columns of the matrix weighted by the entries in the colu
MapĂșa Institute of Technology - MATH - 180
18.03 Class 33, May 3 Complex or repeated eigenvalues [1] The method for solving u' = Au that we devised on Monday is this:(1) Write down the characteristic polynomial A) p_A(lambda) = det(A - lambda I) = lambda^2 - (tr A)lambda +(det lambda_2 v such tha
MapĂșa Institute of Technology - MATH - 180
18.03 Class 34, May 5 Classification of Linear Phase Portraits The moral of today's lecture: Eigenvalues Rule (usually) A is[1] Recall that the characteristic polynomial of a square matrix p_A(lambda) In the 2x2 case p_A(lambda) where = det(A - lambda
MapĂșa Institute of Technology - MATH - 180
18.03 Class 35, May 8 The companion matrix and its phase portrait; The matrix exponential: initial value problems. [1] We spent a lot of time studying the second order equation x" + bx' + kx = 0and if b and k are nonnegative we interpreted them as the
MapĂșa Institute of Technology - MATH - 180
18.03 Class 36, May 10 Review of matrix exponential Inhomogeneous linear equations [1] Prelude on linear algebra: AB.If A and B are matrices such that the number of columns in A is the same as the number of rows in B , then we can form the "product mat
MapĂșa Institute of Technology - MATH - 180
18.03 Muddy Card responses, May 10, 20061. So what good are exponential matrices? It seems to me that they dont allow us to skip any steps: it looks like you still have to calculate eigenvalues and then eigenvectors, and then use those calculations to co
MapĂșa Institute of Technology - MATH - 180
18.03 Class 37, May 12 Introduction to general nonlinear autonomous systems. [1] Recall that an ODE is "autonomous" if and not on t: x' = g(x) x' depends only on xFor example, I know an island in the St Lawrence River in upstate New York where there are
MapĂșa Institute of Technology - MATH - 180
18.03 Class 38, May 15 Nonlinear systems: Jacobian matrices [1] The Nonlinear Pendulum.The bob of a pendulum is attached to a rod, so it can swing clear around the pivot. This system is determined by three parameters: L m g length of pendulum mass of bo
MapĂșa Institute of Technology - MATH - 180
18.03: Dierential Equations, Spring, 2006 Driving through the dashpotThe Mathlet Amplitude and Phase: Second order considers a spring/mass/dashpot system driven through the spring. If y (t) denotes the displacement of the plunger at the top of the spring
York University - BIOL - 1010
SUBiology 1010 - 2009 Midterm 1 Biochemistry and Cell Biology VERSION A1) You are completing VERSION A. Choose A for this question or you will not be graded. A) Choose THIS ONE. B) C) D) E) 2) A theory is _. A) a poorly supported idea that has little exp
Arkansas - MGMT - 4263
C r ga ni za er ona Olick t o edit M astti subt it lelst yleC ha nge i n a Compl ex Wor l d3/15/1111Or ganizat ion Change is: Change M anagement is t he conti nuous p r ocess of a l i gni ng an or ganizat ion wit h it s m arket place and doing it mor
Arkansas - MGMT - 4263
Organizational Change and Organizational Organizational Development (OD) Organizational Toolkit for Organizational ChangeOrganization Development is:A process that applies behavioral science knowledge and practices to help organizations achieve greater
Arkansas - MGMT - 4263
The Change Management ProcessInitial Organization Analysis Understanding the Forces for Change and the Organizational Situation Chapter 3Why Change? Determining the need for change, determining the degree of choice about whether to change Chapter 4Defi
Arkansas - MGMT - 4263
Click to edit Master subtitle styleOD InterventionsHuman Resource Management Human Process - Teams3/15/11Human Resource ManagementPerformanceManagementDefine, assess, and reinforce work behaviorsDevelopingand Assisting Managers3/15/11Job Analys
Arkansas - MGMT - 4263
ChangeRecipients Chapter7 JusticeArticles Toolkit for Organizational Change1RecipientsofChange Includesindividualsatmultipleorganizationallevels! Perceptioniskeytoreactions Reactionscanbepositiveornegative ambivalenceoftencomesfirst Toolkit for
Arkansas - MGMT - 4953
EXPECTANCY THEORY EXAMPLEBelow you will see a set of performance levels that might be associated with working hard. Please indicate by checking the appropriate number to the right of each level how likely it is for you personally that working hard leads
Arkansas - MGMT - 4953
JOB ANALYSISDefinitionApurposeful, systematic process for collecting information on the important work-related aspects of jobsMore DefinitionsTask A grouping of elements to form an identifiable work activity that is a logical and necessary step in th
Arkansas - MGMT - 4953
JOB EVALUATIONGENERALTraditional approach to establishing the relative worth of jobs Assesses the extent to which compensable factors are present in different jobs Typical compensable factors, based on the EPA, are skill, effort, responsibility, and wor
Arkansas - MGMT - 4953
LEGAL CONSIDERATIONSFair Labor Standards Act (1938)Minimum wage Overtime Equal pay (Equal Pay Act, 1963) Child labor Record-keepingPrevailing Wages (1931, 1936)Several laws covering different employers. Essentially mean that Governmentcontractors mu
Arkansas - MGMT - 4953
MARKET ANALYSIS AND SETTING WAGESMARKET ANALYSISGeneralPrimarily accomplished through wage and benefits surveys Some surveys seek only wage information, others both wage and benefits information Significant aspects Planningthe survey Conducting the
Arkansas - MGMT - 4953
ALLOCATING PAY RAISESClick to edit Master subtitle stylePay Allocations1 2 3 4 5 6Hal Elsa Samson Harvey Carol Hilary Matthew Jesse LEFT3000 4200 4500 33002400 4500 2718 42352400 5915 5436 5082 3460 4090 5635 4050 3322400 5070 5436 3388 2595 3272
Arkansas - MGMT - 4953
MOTIVATIONContent versus Process TheoriesContent theories specify the needs or factors that motivate people Maslow HerzbergProcess theories specify the mechanisms through which people are motivated to do certain things Expectancytheory Equity theory
Arkansas - WCOB - 3016
Accounting Measures: Assessing the health of a business is not an easy task since corporations are extremely complex and each one is different from every other one. Therefore, it is not possible to learn a specific process or a limited number of measures
Arkansas - WCOB - 3016
*Note: Use this information to calculate your index score. ROS, ROA, ROE, Asset Turnover, and Market share are ave stock price, market cap, and cumulative profit.ROSYear 2011 2012 2013 2014 2015 2016 2017 2018 Average Andrews Baldwin Chester Digby Erie
Arkansas - WCOB - 3016
Business Plan and Annual ReportsIdentify each of the following on cover page: Team name Industry ID # All team member namesBusiness Plan and Annual Reports Everyone should proofread the report before submitting Use correct punctuation and do not use co
Arkansas - WCOB - 3016
Strategic Management: Concepts and CasesPart II: Strategic Actions: Strategy Formulation Chapter 5: Competitive Rivalry and Competitive Dynamics1The Strategic Management Process2Chapter 5: Competitive Rivalry and Competitive Dynamics Overview: Six c
Arkansas - WCOB - 3016
MilitaryOrganizationHierarchical- Chain of CommandSquad Platoon Company Battalion Brigade2011CengageLearning.AllRightsReserved.Maynotbescanned,copiedorduplicated,orpostedtoapubliclyaccessiblewebsite,inwholeorinpart.ACCOUNTABILITYMilitaryStructureCha
Arkansas - WCOB - 3016
Disruptive Technologieshttp:/naomi.walton.uark.edu:81/ramgen/Anand/Swatch.rmInternational StrategyOpportunities and Outcomes of International StrategyFigure 8.1Mittal Steel Isphat International, LMN Rotterdam Began by buying small, low cost steel mi